Constructor Knowledge Labs (CKL), Bremen, Germany In collaboration with Constructor University and Constructor Technology Duration: Flexible; a summer start is expected, with the possibility of an earlier start by mutual agreement. About the Position Constructor Knowledge Labs (CKL) invites applicants for a research internship in the area of knowledge discovery and representation, with a focus on transforming unstructured data into interpretable, navigable, and actionable cognitive structures. The internship is embedded in an active research direction jointly developed with Constructor University and Constructor Technology, exploring how modern AI systems (particularly large language models and graph-based methods) can be used to construct shared cognitive maps from heterogeneous knowledge sources such as scientific publications, educational materials, and digital artifacts. The intern will work closely with researchers and engineers on ongoing research activities, contributing to the design, implementation, and evaluation of methods for knowledge representation, semantic structuring, and adaptive reasoning. The position offers hands-on exposure to applied research at the intersection of AI, knowledge graphs, and human-centered knowledge systems. Main responsibilities: Prepare and organize research data, including text collections, research publications, datasets, and related metadata, for use in analytical and modeling tasks. Work with unstructured and semi-structured data, supporting its analysis and transformation into structured representations such as knowledge graphs, semantic annotations, or concept mappings. Assist in selected research experiments and analytical tasks related to knowledge discovery, reasoning, or information extraction, under supervision. Conduct literature review and support research documentation, with potential contribution to internal reports or academic publications. Requirements: Currently enrolled in a BSc or MSc program in Computer Science, Data Science, AI/ML, or a closely related field. Solid programming skills, preferably in Python. Basic familiarity with machine learning concepts and data processing workflows. Strong analytical thinking and interest in research-oriented work. Good written and spoken English. We offer Research internship with flexible duration in an international, interdisciplinary research environment. Participation in active research projects at the intersection of AI, knowledge systems, and applied research, with a clearly scoped internship-level contribution. Close supervision and mentoring by leading PIs and senior researchers, whose work shapes current research agendas and attracts significant scholarly attention and citations. Opportunity to contribute to academic publications, embedded in established research groups with consistent presence at top-tier conferences and journals. Flexible working arrangements, including hybrid or remote options. Application details Please submit the following documents in English: CV Short motivation letter (max. 1 page) explaining your interest and relevant skills Transcript of records (GPA obligatory) Deadline for full consideration: 20 March 2026, 23:59 CET.